{"id":"https://openalex.org/W2902884140","doi":"https://doi.org/10.23919/eusipco.2018.8553565","title":"Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings","display_name":"Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902884140","doi":"https://doi.org/10.23919/eusipco.2018.8553565","mag":"2902884140"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553565","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072310429","display_name":"Sanna Wager","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanna Wager","raw_affiliation_strings":["Computing, and Engineering, Indiana University School of Informatics, Bloomington, IN"],"affiliations":[{"raw_affiliation_string":"Computing, and Engineering, Indiana University School of Informatics, Bloomington, IN","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064582903","display_name":"Minje Kim","orcid":"https://orcid.org/0000-0003-3513-8328"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minje Kim","raw_affiliation_strings":["Computing, and Engineering, Indiana University School of Informatics, Bloomington, IN"],"affiliations":[{"raw_affiliation_string":"Computing, and Engineering, Indiana University School of Informatics, Bloomington, IN","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072310429"],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47609892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1532","last_page":"1536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.8156623244285583},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7424237132072449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7383242845535278},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6058559417724609},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6038221120834351},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5569124221801758},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.5459888577461243},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5439576506614685},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5357398986816406},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4491276443004608},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.410084068775177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31054961681365967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19794180989265442},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.1933065950870514},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.16232359409332275}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8156623244285583},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7424237132072449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383242845535278},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6058559417724609},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6038221120834351},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5569124221801758},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.5459888577461243},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5439576506614685},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5357398986816406},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4491276443004608},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.410084068775177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31054961681365967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19794180989265442},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.1933065950870514},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.16232359409332275},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553565","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1893900968","https://openalex.org/W2003020982","https://openalex.org/W2026640571","https://openalex.org/W2064321206","https://openalex.org/W2072503712","https://openalex.org/W2096458822","https://openalex.org/W2103559027","https://openalex.org/W2113154266","https://openalex.org/W2117678320","https://openalex.org/W2120847449","https://openalex.org/W2121973264","https://openalex.org/W2131118158","https://openalex.org/W2135029798","https://openalex.org/W2149214741","https://openalex.org/W2161784349","https://openalex.org/W2164502538","https://openalex.org/W2243943790","https://openalex.org/W2397220809","https://openalex.org/W2398404927","https://openalex.org/W2400012013","https://openalex.org/W2408656838","https://openalex.org/W2587329895","https://openalex.org/W2772500380","https://openalex.org/W2777988497","https://openalex.org/W2951813019","https://openalex.org/W3127686677","https://openalex.org/W3143596294","https://openalex.org/W6639408265","https://openalex.org/W6657003759","https://openalex.org/W6679607613","https://openalex.org/W6680012447","https://openalex.org/W6712617551","https://openalex.org/W6714423323","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291","https://openalex.org/W2900450731"],"abstract_inverted_index":{"We":[0,80],"propose":[1],"a":[2,27,72,94,178],"regularized":[3,141],"nonnegative":[4],"tensor":[5],"factorization":[6,45],"(NTF)":[7],"model":[8],"for":[9],"multi-channel":[10,69],"speech":[11,113,132,174],"derestriction":[12],"that":[13,117,163],"incorporates":[14],"prior":[15],"knowledge":[16],"about":[17],"clean":[18,112,131],"speech.":[19],"The":[20,44],"approach":[21],"models":[22],"the":[23,36,88,105,110,118,129,135,164],"problem":[24,38,108],"as":[25,68],"recovering":[26],"signal":[28],"convolved":[29],"with":[30,64],"different":[31,158],"room":[32],"impulse":[33],"responses,":[34],"allowing":[35],"dereverberation":[37,91,155],"to":[39,58,86,103,142,177],"benefit":[40],"from":[41],"microphone":[42,62],"arrays.":[43],"learns":[46],"both":[47,169],"individual":[48],"reverberation":[49,160],"filters":[50],"and":[51,151,173],"channel-specific":[52],"delays,":[53],"which":[54],"makes":[55],"it":[56],"possible":[57],"employ":[59],"an":[60],"ad-hoc":[61],"array":[63],"heterogeneous":[65],"sensors":[66],"(such":[67],"recordings":[70],"by":[71],"crowd)":[73],"even":[74],"if":[75],"they":[76],"are":[77],"not":[78],"synchronized.":[79],"integrate":[81],"two":[82],"prior-knowledge":[83,165],"regularization":[84,166],"schemes":[85,167],"increase":[87],"stability":[89],"of":[90,109,146],"performance.":[92],"First,":[93],"Nonnegative":[95],"Matrix":[96],"Factorization":[97],"(NMF)":[98],"inner":[99],"routine":[100],"is":[101,139],"introduced":[102],"inform":[104],"original":[106],"NTF":[107,180],"pre-trained":[111],"basis":[114],"vectors,":[115],"so":[116],"optimization":[119],"process":[120],"can":[121],"focus":[122],"on":[123,144,157],"estimating":[124],"their":[125],"activations":[126],"rather":[127],"than":[128],"whole":[130],"spectra.":[133],"Second,":[134],"NMF":[136],"activation":[137],"matrix":[138],"further":[140],"take":[143],"characteristics":[145],"dry":[147],"signals":[148],"using":[149],"sparsity":[150],"smoothness":[152],"constraints.":[153],"Empirical":[154],"results":[156],"simulated":[159],"setups":[161],"show":[162],"improve":[168],"recovered":[170],"sound":[171],"quality":[172],"intelligibility":[175],"compared":[176],"baseline":[179],"approach.":[181]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
